For years, companies protected sensitive data by securing emails, devices, and internal networks. But work habits have changed. Now, most of the data moves through web browsers.
Employees often copy, paste, upload, or transfer information online without realizing the risks. Web apps, personal accounts, AI tools, and browser extensions have made it harder to track where the data goes. Old security methods can no longer catch these new risks.
How Data Slips Out Through Browsers
Data leaks no longer happen only through obvious channels like USB drives or emails. Today, normal work tasks done inside browsers cause unintentional leaks.
For example, a developer might paste secret codes into an AI chatbot. A salesperson could move customer details into their personal cloud account. A manager might give an online tool access to company data without knowing it.
Because these activities happen inside approved apps, companies often miss the risks. Different platforms also store data differently, making it harder to apply the same safety rules everywhere.
Simple actions like copying text, using extensions, or uploading files now create new ways for data to leak. Cloud services like AWS or Microsoft add another layer of confusion, as it becomes unclear where the data is stored.
The use of multiple browsers, Chrome, Safari, Firefox — makes it even harder for security teams to keep an eye on everything.
Personal Accounts Add to the Risk
Switching between work and personal accounts during the same browser session is very common. People use services like Gmail, Google Drive, ChatGPT, and others without separating personal and office work.
As a result, important company data often ends up in personal cloud drives, emails, or messaging apps without any bad intention from employees.
Studies show that nearly 40% of web use in Google apps involves personal accounts. Blocking personal uploads is not a solution. Instead, companies need smart browser rules to separate work from personal use without affecting productivity.
Moving Data Is the Most Dangerous Moment
Data is most vulnerable when it is being shared or transferred — what experts call "data in motion." Even though companies try to label sensitive information, most protections work only when data is stored, not when it moves.
Popular apps like Google Drive, Slack, and ChatGPT make sharing easy but also increase the risk of leaks. Old security systems fail because the biggest threats now come from tools employees use every day.
Extensions and Unknown Apps — The Hidden Threat
Browser extensions and third-party apps are another weak spot. Employees often install them without knowing how much access they give away.
Some of these tools can record keystrokes, collect login details, or keep pulling data even after use. Since these risks often stay hidden, security teams struggle to control them.
Today, browsers are the biggest weak spot in protecting company data. Businesses need better tools that control data flow inside the browser, keeping information safe without slowing down work.
The Ministry of Finance, under Nirmala Sitharaman’s leadership, has issued a directive prohibiting employees from using artificial intelligence (AI) tools such as ChatGPT and DeepSeek for official work. The decision comes over concerns about data security as these AI-powered platforms process and store information externally, potentially putting confidential government data at risk.
Why Has the Finance Ministry Banned AI Tools?
AI chatbots and virtual assistants have gained popularity for their ability to generate text, answer questions, and assist with tasks. However, since these tools rely on cloud-based processing, there is a risk that sensitive government information could be exposed or accessed by unauthorized parties.
The ministry’s concern is that official documents, financial records, and policy decisions could unintentionally be shared with external AI systems, making them vulnerable to cyber threats or misuse. By restricting their use, the government aims to safeguard national data and prevent potential security breaches.
Public Reactions and Social Media Buzz
The announcement quickly sparked discussions online, with many users sharing humorous takes on the decision. Some questioned how government employees would manage their workload without AI assistance, while others speculated whether Indian AI tools like Ola Krutrim might be an approved alternative.
A few of the popular reactions included:
1. "How will they complete work on time now?"
2. "So, only Ola Krutrim is allowed?"
3. "The Finance Ministry is switching back to traditional methods."
4. "India should develop its own AI instead of relying on foreign tools."
India’s Position in the Global AI Race
With AI development accelerating worldwide, several countries are striving to build their own advanced models. China’s DeepSeek has emerged as a major competitor to OpenAI’s ChatGPT and Google’s Gemini, increasing the competition in the field.
The U.S. has imposed trade restrictions on Chinese AI technology, leading to growing tensions in the tech industry. Meanwhile, India has yet to launch an AI model capable of competing globally, but the government’s interest in regulating AI suggests that future developments could be on the horizon.
While the Finance Ministry’s move prioritizes data security, it also raises questions about efficiency. AI tools help streamline work processes, and their restriction could lead to slower operations in certain departments.
Experts suggest that India should focus on developing AI models that are secure and optimized for government use, ensuring that innovation continues without compromising confidential information.
For now, the Finance Ministry’s stance reinforces the need for careful regulation of AI technologies, ensuring that security remains a top priority in government operations.
Earlier, it was easier to spot irregularities in an e-mail, all it took was one glance. As Gen AI models use flawless grammar, it is almost impossible to find errors in your mail copy,
In the past, one quick skim was enough to recognize something is off with an email, typically the incorrect grammar and laughable typos being the giveaways. Since scammers now use generative AI language models, most phishing messages have flawless grammar.
But there is hope. It is easier to identify Gen AI text, and keep an eye out for an unnatural flow of sentences, if everything seems to be too perfect, chances are it’s AI.
Though AI has made it difficult for users to find phishing scams, they show some classic behavior. The same tips apply to detect phishing emails.
In most cases, scammers mimic businesses and wish you won’t notice. For instance, instead of an official “info@members.hotstar.com” email ID, you may notice something like “info@members.hotstar-support.com.” You may also get unrequested links or attachments, which are a huge tell. URLs (mismatched) having subtle typos or extra words/letters are comparatively difficult to notice but a huge ti-off that you are on a malicious website or interacting with a fake business.
The biggest issue these days is combating deepfakes, which are also difficult to spot.
The attacker makes realistic video clips using photo and video prompts and uses video calling like Zoom or FaceTime to trap potential victims (especially elders and senior citizens) to give away sensitive data.
One may think that only old people may fall for deepfakes, but due to their sophistication, even experts fall prey to them. One famous incident happened in Hong Kong, where scammers deepfake a company CFO and looted HK$200 million (roughly $25 million).
AI is advancing, and becoming stronger every day. It is a double-edged sword, both a blessing and a curse. One should tread the ethical lines carefully and hope they don’t fall to the dark side of AI.
On Thursday, OpenAI’s ChatGPT experienced a significant outage in the UK, leaving thousands of users unable to access the popular AI chatbot. The disruption, which began around 11:00 GMT, saw users encountering a “bad gateway error” message when attempting to use the platform. According to Downdetector, a website that tracks service interruptions, over 10,000 users reported issues during the outage, which persisted for several hours and caused widespread frustration.
OpenAI acknowledged the issue on its official status page, confirming that a fix was implemented by 15:09 GMT. The company assured users that it was monitoring the situation closely, but no official explanation for the cause of the outage has been provided so far. This lack of transparency has fueled speculation among users, with theories ranging from server overload to unexpected technical failures.
As the outage unfolded, affected users turned to social media to voice their concerns and frustrations. On X (formerly Twitter), one user humorously remarked, “ChatGPT is down again? During the workday? So you’re telling me I have to… THINK?!” While some users managed to find humor in the situation, others raised serious concerns about the reliability of AI services, particularly those who depend on ChatGPT for professional tasks such as content creation, coding assistance, and research.
ChatGPT has become an indispensable tool for millions since its launch in November 2022. OpenAI CEO Sam Altman recently revealed that by December 2024, the platform had reached over 300 million weekly users, highlighting its rapid adoption as one of the most widely used AI tools globally. However, the incident has raised questions about service reliability, especially among paying customers. OpenAI’s premium plans, which offer enhanced features, cost up to $200 per month, prompting some users to question whether they are getting adequate value for their investment.
The outage comes at a time of rapid advancements in AI technology. OpenAI and other leading tech firms have pledged significant investments into AI infrastructure, with a commitment of $500 billion toward AI development in the United States. While these investments aim to bolster the technology’s capabilities, incidents like this serve as a reminder of the growing dependence on AI tools and the potential risks associated with their widespread adoption.
The disruption highlights the importance of robust technical systems to ensure uninterrupted service, particularly for users who rely heavily on AI for their daily tasks. Despite restoring services relatively quickly, OpenAI’s ability to maintain user trust and satisfaction may hinge on its efforts to improve its communication strategy and technical resilience. Paying customers, in particular, expect transparency and proactive measures to prevent such incidents in the future.
As artificial intelligence becomes more deeply integrated into everyday life, service disruptions like the ChatGPT outage underline both the potential and limitations of the technology. Users are encouraged to stay informed through OpenAI’s official channels for updates on any future service interruptions or maintenance activities.
Moving forward, OpenAI may need to implement backup systems and alternative solutions to minimize the impact of outages on its user base. Clearer communication during disruptions and ongoing efforts to enhance technical infrastructure will be key to ensuring the platform’s reliability and maintaining its position as a leader in the AI industry.
Artificial intelligence is rapidly advancing beyond its current capabilities, transitioning from tools that generate content to systems capable of making autonomous decisions and pursuing long-term objectives. This next frontier, known as Agentic AI, has the potential to revolutionize how machines interact with the world by functioning independently and adapting to complex environments.
Generative AI models, such as ChatGPT and Google Gemini, analyze patterns in vast datasets to generate responses based on user prompts. These systems are highly versatile and assist with a wide range of tasks but remain fundamentally reactive, requiring human input to function. In contrast, agentic AI introduces autonomy, allowing machines to take initiative, set objectives, and perform tasks without continuous human oversight.
The key distinction lies in their problem-solving approaches. Generative AI acts as a responsive assistant, while agentic AI serves as an independent collaborator, capable of analyzing its environment, recognizing priorities, and making proactive decisions. By enabling machines to work autonomously, agentic AI offers the potential to optimize workflows, adapt to dynamic situations, and manage complex objectives over time.
Agentic AI systems leverage advanced planning modules, memory retention, and sophisticated decision-making frameworks to achieve their goals. These capabilities allow them to:
By incorporating these features, agentic AI ensures continuity and efficiency in executing long-term projects, distinguishing it from its generative counterparts.
The potential impact of agentic AI spans multiple industries and applications. For example:
Major AI companies are already exploring agentic capabilities. Reports suggest that OpenAI is working on projects aimed at enhancing AI autonomy, potentially enabling systems to control digital environments with minimal human input. These advancements highlight the growing importance of autonomous systems in shaping the future of technology.
Despite its transformative potential, agentic AI raises several challenges that must be addressed:
Thoughtful development and robust regulation will be essential to ensure that agentic AI operates ethically and responsibly, mitigating potential risks while unlocking its full benefits.
The transition from generative to agentic AI represents a significant leap in artificial intelligence. By integrating autonomous capabilities, these systems can transform industries, enhance productivity, and redefine human-machine relationships. However, achieving this vision requires a careful balance between innovation and regulation. As AI continues to evolve, agentic intelligence stands poised to usher in a new era of technological progress, fundamentally reshaping how we interact with the world.